🚀 NumPy — Getting Started

NumPy is a Python library used for working with arrays, numbers, and mathematical operations. Before using NumPy, you must install and import it.

📦 1. Installing NumPy

Using pip:

Using conda:

If NumPy is already installed, Python will recognize it during import.

📥 2. Importing NumPy

The standard way to import NumPy is:

Using np is a shortcut so you don’t type numpy every time.

📌 3. Creating Your First NumPy Array

Output:

🔍 4. Checking NumPy Version

🧮 5. NumPy Arrays vs Python Lists

Python list:

NumPy array:

NumPy arrays are:

✔ Faster
✔ Require less memory
✔ Allow vectorized arithmetic operations

Example:

Output:

(You cannot do this easily with normal Python lists.)

📚 6. Creating Different Types of Arrays

➤ Array of zeros

Output:

➤ Array of ones

Output:

➤ Generate sequence (like Python range())

Output:

➤ Generate evenly spaced values

Output:

📏 7. Checking Array Attributes

✔ Summary